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Assessment of soil organic carbon stocks in relation to variation in physiography under sub-mountainous Shiwalik ranges of lower Himalayas, India

机译:在印度少喜马拉雅山山上撒上山地史瓦岛地质变异中的土壤有机碳股

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A study was conducted in lower Shiwaliks of Punjab, India to study the soil organic carbon (SOC) stock variation in hill, piedmont plain and alluvial plain regions of Punjab, and further to investigate the SOC variability down the slope in the lower Shiwaliks region of Punjab. The SOC fractions viz. very labile carbon, labile carbon, less labile carbon and recalcitrant were determined using standard methodologies. The total SOC stock in 0-60 cm soil depth was highest in plain region (31.81 Mg ha(-1)), followed by piedmont (23.43 Mg ha(-1)) and lowest in hill region (22.86 Mg ha(-1)). Whereas, the SOC concentration in surface layer was highest in foot slope (5.76 g kg(-1)) followed by mid slope (4.14 g kg(-1)) and lowest in up slope (2.32 g kg(-1)). Among the SOC fractions the average labile carbon content in soil samples was found in the order, hills (0.81 g kg(-1)) piedmonts (0.73 g kg(-1)) plains (0.50 g kg(-1)). The soil bulk density (D-b) was higher in the plain than that of piedmont and hills. Moreover, a similar trend is observed in case of water holding capacity. Regression analysis has revealed significant relationship between D-b and SOC stock at p 0.05. Further, analysis of variance (ANOVA) at p 0.05 has indicated significant differences among concentration of SOC and stock influenced by land use and soil depths. Thus, an understanding of the effect of physiography on SOC via such studies is important for soil quality management.
机译:在印度旁遮普邦的较低世瓦尔考察的研究,研究了丘代宫的丘陵,皮埃蒙特平原和冲积普通地区的土壤有机碳(SoC)股票变异,并进一步调查了下石瓦河区坡度的SOC变异性旁遮普。 SOC分数viz。使用标准方法测定非常不稳定的碳,不稳定的碳,较少的不稳定碳和醋核糖。在0-60厘米的土壤深度中的SOC库存中的总体股在平原区域中最高(31.81 mg(-1)),其次是皮埃蒙特(23.43mg(-1))和山区最低(22.86 mg HA(-1 )))。然而,表面层中的SOC浓度在脚坡中最高(5.76g kg(-1)),然后是半坡(4.14g kg(-1))和最低斜率(2.32g kg(-1))。在SOC馏分中,在山丘(0.81g kg(-1))&gt的顺序中发现了土壤样品中的平均不稳定碳含量。皮埃蒙特(0.73克(-1))&平原(0.50g kg(-1))。平原的土壤堆积密度(D-B)高于皮埃蒙特和山丘。此外,在水持续容量的情况下观察到类似的趋势。回归分析揭示了P&LT的D-B和SoC股之间的显着关系。 0.05。此外,P<的差异(ANOVA)分析0.05表明受土地利用和土壤深度影响的SoC和股票集中的显着差异。因此,通过这些研究对物理图对SOC的影响对土壤质量管理是重要的。

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